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New Aspects on Condition Monitoring of Machine Tools and Machining Processes
University West, Department of Engineering Science, Division of Production Engineering. (PTW)ORCID iD: 0000-0002-3436-3163
University West, Department of Engineering Science, Division of Production Engineering. University West, Department of Engineering Science, Division of Subtractive and Additive Manufacturing. (PTW)ORCID iD: 0000-0003-0976-9820
University West, Department of Engineering Science, Division of Production Engineering. University West, Department of Engineering Science, Division of Subtractive and Additive Manufacturing. (PTW)ORCID iD: 0000-0003-1408-2249
2009 (English)In: The Swedish Production Symposium (SPS'09): 2-3 dec,  Göteborg, 2009, p. 27-33Conference paper, Published paper (Other academic)
Abstract [en]

A general trend within the manufacturing community and in particular the aerospace industry is that the requirements on the manufacturing of components are subjected to ever tighter tolerances and surface integrity restrictions. In order to fulfil these requirements a lot of effort has been carried out to non destructive testing of the produced part. However, the final objective in the first place must be to assure a robust process. One way to achieve a robust process is to continuously monitor it. This may require additional sensors which increase complexity and adds cost. This paper presents suggestions and experimentally achieved results into the extended use of already existing sensors in the machine tool. The basic idea is to show how these sensors can provide additional information about the machine tool itself and how they can be used for monitoring the process as well as to support maintenance activities. The Poincaré analysis method is applied to the position encoder signals to reveal the underlying dynamics when the machine tool structure is excited with a periodically varying load.

Place, publisher, year, edition, pages
2009. p. 27-33
Keywords [en]
Machine tool, Condition monitoring, Poincaré maps
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
URN: urn:nbn:se:hv:diva-2233OAI: oai:DiVA.org:hv-2233DiVA, id: diva2:299025
Conference
The Swedish Production Symposium (SPS'09, 2-3 dec, Göteborg
Available from: 2010-02-23 Created: 2010-02-23 Last updated: 2020-04-02Bibliographically approved
In thesis
1. Condition monitoring of machine tools and machining processes using internal sensor signals
Open this publication in new window or tab >>Condition monitoring of machine tools and machining processes using internal sensor signals
2010 (English)Licentiate thesis, comprehensive summary (Other academic)
Publisher
p. 132
Series
Licentiate Thesis in Production Engineering KTH, Stockholm, ISSN 1650-1888
Keywords
Conditional monitoring, machine tool, machining process, milling, position encoders, signal analysis
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
ENGINEERING, Manufacturing and materials engineering
Identifiers
urn:nbn:se:hv:diva-2431 (URN)978-91-7415-600-3 (ISBN)
Presentation
(English)
Available from: 2010-04-29 Created: 2010-04-29 Last updated: 2019-11-19Bibliographically approved

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Repo, JariBeno, TomasPejryd, Lars

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